Computational Functions' VLSI Implementation for Compressed Sensing

被引：0

作者：

Korde, Shrirang ^{[1
]}

Khandare, Amol ^{[1
]}

Deshmukh, Raghavendra ^{[1
]}

Patrikar, Rajendra ^{[1
]}

机构：

[1] VNIT, Dept Elect Engn, SA Rd, Nagpur 440010, Maharashtra, India

来源：

VLSI DESIGN AND TEST, VDAT 2013 | 2013年 / 382卷

关键词：

Compressed Sensing; Compressive Sensing; Architecture;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Compressed Sensing (CS) is found to be promising method for sparse signal recovery and sampling. The paper proposes the architecture for computing various computational functions useful in realizing CS recovery consisting of Singular Value Decomposition (SVD) using Bi-diagonalization method; L1 norm of vector, L2 norm of vector calculations. This is one of the early VLSI implementation attempt for CS recovery. We have verified the design for speed and accuracy of results on FPGA.

引用

页码：35 / 43

页数：9

共 50 条

[1] Compressed Sensing Recovery Algorithms and VLSI Implementation
Lin, Kuan-Ting
Yang, Kai-Jiun
Lin, Pu-Hsuan
Tsai, Shang-Ho
[J]. 2013 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA), 2013,
[2] Hardware Implementation Of Compressed Sensing Algorithm
Chakraborty, Parnasree
Tharini, C.
Abidha, Minhaj M.
[J]. PROCEEDINGS OF THE 2018 IEEE INTERNATIONAL CONFERENCE ON RECENT TRENDS IN ELECTRICAL, CONTROL AND COMMUNICATION (RTECC), 2018, : 46 - 50
[3] On the Implementation of Chaotic Compressed Sensing for MRI
Truong Minh-Chinh
Nguyen Linh-Trung
Tran Duc-Tan
[J]. PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR COMMUNICATIONS (ATC), 2016, : 103 - 107
[4] Compressed Sensing Implementation in Cardiac Signals
Pinheiro, Eduardo
Postolache, Octavian
Girao, Pedro
[J]. 2009 IEEE INTERNATIONAL WORKSHOP ON INTELLIGENT DATA ACQUISITION AND ADVANCED COMPUTING SYSTEMS: TECHNOLOGY AND APPLICATIONS, 2009, : 96 - 101
[5] A NUMERICAL IMPLEMENTATION OF GRIDLESS COMPRESSED SENSING
Panahi, Ashkan
Viberg, Mats
Hassibi, Babak
[J]. 2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP), 2015, : 3342 - 3346
[6] ON APPROXIMATION OF BANDLIMITED FUNCTIONS WITH COMPRESSED SENSING
Huber, Adrian E. G.
Liu, Shih-Chii
[J]. 2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2018, : 4009 - 4013
[7] Computational ghost imaging with deep compressed sensing*
Zhang, Hao
Xia, Yunjie
Duan, Deyang
[J]. CHINESE PHYSICS B, 2021, 30 (12)
[8] Compressed Sensing Recovery using Computational Memory
Le Gallo, M.
Sebastian, A.
Cherubini, G.
Giefers, H.
Eleftheriou, E.
[J]. 2017 IEEE INTERNATIONAL ELECTRON DEVICES MEETING (IEDM), 2017,
[9] Computational ghost imaging with deep compressed sensing
张浩
夏云杰
段德洋
[J]. Chinese Physics B, 2021, (12) : 445 - 448
[10] Adaptive Integration of the Compressed Algorithm of CS and NPC for the ECG Signal Compressed Algorithm in VLSI Implementation
Tseng, Yun-Hua
Chen, Yuan-Ho
Lu, Chih-Wen
[J]. SENSORS, 2017, 17 (10)

← 1 2 3 4 5 →